Geodesic
Up and Down Estimate of Therapy Quality in Non-Linear Distributed Mathematical Glioma Model
Matematičeskaâ biologiâ i bioinformatika, Tome 9 (2014) no. 1, pp. 20-32 
S. Yu. Kovalenko; A. S. Bratus'. Up and Down Estimate of Therapy Quality in Non-Linear Distributed Mathematical Glioma Model. Matematičeskaâ biologiâ i bioinformatika, Tome 9 (2014) no. 1, pp. 20-32. http://geodesic.mathdoc.fr/item/MBB_2014_9_1_a4/
@article{MBB_2014_9_1_a4,
     author = {S. Yu. Kovalenko and A. S. Bratus'},
     title = {Up and {Down} {Estimate} of {Therapy} {Quality} in {Non-Linear} {Distributed} {Mathematical} {Glioma} {Model}},
     journal = {Matemati\v{c}eska\^a biologi\^a i bioinformatika},
     pages = {20--32},
     year = {2014},
     volume = {9},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MBB_2014_9_1_a4/}
}
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Voir la notice de l'article provenant de la source Math-Net.Ru

We consider the distributed mathematical model for brain tumor growth dynamics. The task of search optimal strategy in terms of the specified optimal functional is very hard to analytical solving. We construct the analytical down-estimation for the functional and the up-estimation by using numerical methods. In case of both estimates pass not far from each other results could be useful for ill-prognosis and the selection of the convenient therapy strategy.

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